Information Processing & Management - Google Scholar Metrics

h5-index:39
h5-median:58

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2014-2018 have at least h citations each.hide

h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide

#12 Databases & Information Systems

Title / Author	Cited by	Year
Analysis of named entity recognition and linking for tweets L Derczynski, D Maynard, G Rizzo, M van Erp, G Gorrell, R Troncy, ... Information Processing & Management 51 (2), 32-49	227	2015
The impact of preprocessing on text classification AK Uysal, S Gunal Information Processing & Management 50 (1), 104-112	200	2014
Contextual semantics for sentiment analysis of Twitter H Saif, Y He, M Fernandez, H Alani Information Processing & Management 52 (1), 5-19	190	2016
Measuring user influence on Twitter: A survey F Riquelme, P González-Cantergiani Information Processing & Management 52 (5), 949-975	139	2016
Sentiment, emotion, purpose, and style in electoral tweets SM Mohammad, X Zhu, S Kiritchenko, J Martin Information Processing & Management 51 (4), 480-499	97	2015
MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies AB Abacha, P Zweigenbaum Information Processing & Management 51 (5), 570-594	82	2015
Opinion mining from online hotel reviews–A text summarization approach YH Hu, YL Chen, HL Chou Information Processing & Management 53 (2), 436-449	77	2017
Analytical mapping of opinion mining and sentiment analysis research during 2000–2015 R Piryani, D Madhavi, VK Singh Information Processing & Management 53 (1), 122-150	70	2017
Detecting positive and negative deceptive opinions using PU-learning DH Fusilier, M Montes-y-Gómez, P Rosso, RG Cabrera Information Processing & Management 51 (4), 433-443	67	2015
Twitter sentiment analysis using hybrid cuckoo search method AC Pandey, DS Rajpoot, M Saraswat Information Processing & Management 53 (4), 764-779	67	2017
Polarity shift detection, elimination and ensemble: A three-stage model for document-level sentiment analysis R Xia, F Xu, J Yu, Y Qi, E Cambria Information Processing & Management 52 (1), 36-45	65	2016
Supervised sentiment analysis in Czech social media I Habernal, T Ptáček, J Steinberger Information Processing & Management 50 (5), 693-707	63	2014
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy H Xie, X Li, T Wang, RYK Lau, TL Wong, L Chen, FL Wang, Q Li Information Processing & Management 52 (1), 61-72	61	2016
Development and validation of a Disaster Management Metamodel (DMM) SH Othman, G Beydoun, V Sugumaran Information Processing & Management 50 (2), 235-271	61	2014
Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform J Kranjc, J Smailović, V Podpečan, M Grčar, M Žnidaršič, N Lavrač Information Processing & Management 51 (2), 187-203	60	2015
On the impact of emotions on author profiling F Rangel, P Rosso Information Processing & Management 52 (1), 73-92	59	2016
Coupling learning of complex interactions L Cao Information Processing & Management 51 (2), 167-186	59	2015
Query strategies during information searching: Effects of prior domain knowledge and complexity of the information problems to be solved S Monchaux, F Amadieu, A Chevalier, C Mariné Information Processing & Management 51 (5), 557-569	58	2015
Personalized hybrid recommendation for group of users: Top-N multimedia recommender O Kaššák, M Kompan, M Bieliková Information Processing & Management 52 (3), 459-477	58	2016
On planning sightseeing tours with TripBuilder IR Brilhante, JA Macedo, FM Nardini, R Perego, C Renso Information Processing & Management 51 (2), 1-15	58	2015

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Dates and citation counts are estimated and are determined automatically by a computer program.