Dipankar Das

3.4k total citations
124 papers, 1.1k citations indexed

About

Dipankar Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Dipankar Das has authored 124 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Dipankar Das's work include Topic Modeling (56 papers), Natural Language Processing Techniques (44 papers) and Sentiment Analysis and Opinion Mining (37 papers). Dipankar Das is often cited by papers focused on Topic Modeling (56 papers), Natural Language Processing Techniques (44 papers) and Sentiment Analysis and Opinion Mining (37 papers). Dipankar Das collaborates with scholars based in India, United States and Bangladesh. Dipankar Das's co-authors include Sivaji Bandyopadhyay, Alexander Gelbukh, Braja Gopal Patra, Soujanya Poria, Amir Hussain, Newton Howard, Ashish Ranjan, Anand Raghunathan, Bharat Kaul and Subarno Banerjee and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Intelligent Systems and Arabian Journal for Science and Engineering.

In The Last Decade

Dipankar Das

116 papers receiving 1000 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dipankar Das India 16 806 193 150 145 79 124 1.1k
Shize Guo China 15 374 0.5× 135 0.7× 137 0.9× 119 0.8× 163 2.1× 95 820
Alon Zakai Israel 9 298 0.4× 116 0.6× 144 1.0× 57 0.4× 160 2.0× 12 678
Mirza Omer Beg Pakistan 16 504 0.6× 128 0.7× 211 1.4× 76 0.5× 20 0.3× 46 871
Jiezhong Qiu China 12 714 0.9× 185 1.0× 179 1.2× 59 0.4× 12 0.2× 22 1.2k
Yufei Chen China 14 249 0.3× 360 1.9× 205 1.4× 96 0.7× 77 1.0× 59 908
Setareh Rafatirad United States 16 336 0.4× 87 0.5× 154 1.0× 156 1.1× 203 2.6× 82 760
Yichun Yin China 10 907 1.1× 365 1.9× 99 0.7× 65 0.4× 21 0.3× 18 1.1k
Johnson Apacible United States 5 292 0.4× 289 1.5× 145 1.0× 70 0.5× 46 0.6× 8 677
Kemal Oflazer Türkiye 25 1.7k 2.1× 260 1.3× 115 0.8× 22 0.2× 25 0.3× 110 2.0k
Vlad P. Shmerko Canada 11 261 0.3× 69 0.4× 77 0.5× 154 1.1× 42 0.5× 71 577

Countries citing papers authored by Dipankar Das

Since Specialization
Citations

This map shows the geographic impact of Dipankar Das's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dipankar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipankar Das more than expected).

Fields of papers citing papers by Dipankar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dipankar Das. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dipankar Das. The network helps show where Dipankar Das may publish in the future.

Co-authorship network of co-authors of Dipankar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Das. A scholar is included among the top collaborators of Dipankar Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dipankar Das. Dipankar Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Das, Dipankar, et al.. (2025). Event Identification and Chronology Model of Ramayana. 1–6.
2.
Das, Dipankar, et al.. (2020). Detecting Fake News Spreaders on Twitter Using Universal Sentence Encoder.. CLEF (Working Notes). 4 indexed citations
3.
Das, Dipankar, et al.. (2020). Rhetorical Role Labelling for Legal Judgements Using ROBERTA.. 22–25. 2 indexed citations
4.
Patra, Braja Gopal, et al.. (2018). Multimodal Author Profiling for Twitter: Notebook for PAN at CLEF 2018.. CLEF (Working Notes). 2 indexed citations
5.
Das, Dipankar, et al.. (2017). A Deep Dive into Identification of Characters from Mahabharata.. 447–455. 1 indexed citations
6.
Das, Dipankar, et al.. (2017). Developing Lexicon and Classifier for Personality Identification in Texts.. 362–372. 4 indexed citations
7.
Cambria, Erik, et al.. (2017). MediConceptNet: An Affinity Score Based Medical Concept Network.. The Florida AI Research Society. 335–340. 1 indexed citations
8.
Patra, Braja Gopal, et al.. (2015). MediaEval 2015: Music Emotion Recognition based on Feed-Forward Neural Network. MediaEval. 5 indexed citations
9.
Patra, Braja Gopal, Hiroya Takamura, Dipankar Das, Manabu Okumura, & Sivaji Bandyopadhyay. (2013). Construction of Emotional Lexicon Using Potts Model. Tokyo Tech Research Repository (Tokyo Institute of Technology). 674–679. 5 indexed citations
10.
Patra, Braja Gopal, et al.. (2012). Part of Speech (POS) Tagger for Kokborok. International Conference on Computational Linguistics. 923–932. 4 indexed citations
11.
Patra, Braja Gopal, et al.. (2012). A Light Weight Stemmer in Kokborok. International Conference on Computational Linguistics. 318–325. 5 indexed citations
12.
Patra, Braja Gopal, et al.. (2012). Morphological Analyzer for Kokborok. International Conference on Computational Linguistics. 41–52. 3 indexed citations
13.
Das, Dipankar, et al.. (2011). Developing Japanese WordNet Affect for Analyzing Emotions. Meeting of the Association for Computational Linguistics. 80–86. 13 indexed citations
14.
Das, Dipankar & Sivaji Bandyopadhyay. (2011). Document Level Emotion Tagging: Machine Learning and Resource Based Approach. Computación y Sistemas. 15(2). 221–234. 4 indexed citations
15.
Pakray, Partha, et al.. (2010). JU-CSE-TE: System description QA@CLEF 2010 - ResPubliQA. 1176. 9 indexed citations
16.
Das, Dipankar, et al.. (2010). Automatic Extraction of Complex Predicates in Bengali. International Conference on Computational Linguistics. 37–45. 6 indexed citations
17.
Pal, Santanu, Partha Pakray, Dipankar Das, & Sivaji Bandyopadhyay. (2010). JU: A Supervised Approach to Identify Semantic Relations from Paired Nominals. Meeting of the Association for Computational Linguistics. 206–209. 3 indexed citations
18.
Das, Dipankar & Sivaji Bandyopadhyay. (2010). Finding Emotion Holder from Bengali Blog Texts---An Unsupervised Syntactic Approach. Waseda University Repository (Waseda University). 621–628. 6 indexed citations
19.
Das, Dipankar & Sivaji Bandyopadhyay. (2010). Identifying Emotional Expressions, Intensities and Sentence Level Emotion Tags Using a Supervised Framework. Waseda University Repository (Waseda University). 95–104. 9 indexed citations
20.
Das, Dipankar & Sivaji Bandyopadhyay. (2009). Analyzing Emotion in Blog and News at Word and Sentence Level.. Indian International Conference on Artificial Intelligence. 1402–1414. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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