Debanjan Mahata

1.3k total citations
38 papers, 661 citations indexed

About

Debanjan Mahata is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Debanjan Mahata has authored 38 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 13 papers in Information Systems and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Debanjan Mahata's work include Sentiment Analysis and Opinion Mining (13 papers), Topic Modeling (12 papers) and Advanced Text Analysis Techniques (8 papers). Debanjan Mahata is often cited by papers focused on Sentiment Analysis and Opinion Mining (13 papers), Topic Modeling (12 papers) and Advanced Text Analysis Techniques (8 papers). Debanjan Mahata collaborates with scholars based in India, United States and Singapore. Debanjan Mahata's co-authors include Rajiv Ratn Shah, Ramit Sawhney, Puneet Mathur, Roger Zimmermann, Arijit Chowdhury, Yaman Kumar, Jing Jiang, Haimin Zhang, Vivek Kumar Singh and Huan Liu and has published in prestigious journals such as Journal of the American Medical Informatics Association, IEEE Intelligent Systems and Language Resources and Evaluation.

In The Last Decade

Debanjan Mahata

37 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debanjan Mahata India	15	504	138	87	66	55	38	661
Sean MacAvaney United Kingdom	12	526 1.0×	163 1.2×	117 1.3×	57 0.9×	57 1.0×	48	650
Kathy McKeown United States	14	518 1.0×	119 0.9×	78 0.9×	54 0.8×	20 0.4×	26	632
Shuiqiao Yang Australia	12	326 0.6×	91 0.7×	43 0.5×	89 1.3×	62 1.1×	26	496
Eduardo Blanco United States	14	545 1.1×	65 0.5×	87 1.0×	79 1.2×	27 0.5×	72	693
Manas Gaur United States	17	390 0.8×	94 0.7×	246 2.8×	65 1.0×	33 0.6×	54	721
Marco Polignano Italy	12	415 0.8×	184 1.3×	37 0.4×	51 0.8×	49 0.9×	52	552
Saadia Gabriel United States	9	536 1.1×	87 0.6×	62 0.7×	92 1.4×	36 0.7×	18	681
Muhammad Abdul-Mageed Canada	19	1.5k 3.0×	249 1.8×	115 1.3×	137 2.1×	43 0.8×	88	1.7k
Marco Guerini Italy	13	348 0.7×	62 0.4×	42 0.5×	97 1.5×	35 0.6×	53	521
Dolf Trieschnigg Netherlands	14	472 0.9×	216 1.6×	91 1.0×	46 0.7×	39 0.7×	44	654

Countries citing papers authored by Debanjan Mahata

Since Specialization

Citations

This map shows the geographic impact of Debanjan Mahata'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 Debanjan Mahata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debanjan Mahata more than expected).

Fields of papers citing papers by Debanjan Mahata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debanjan Mahata. 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 Debanjan Mahata. The network helps show where Debanjan Mahata may publish in the future.

Co-authorship network of co-authors of Debanjan Mahata

This figure shows the co-authorship network connecting the top 25 collaborators of Debanjan Mahata. A scholar is included among the top collaborators of Debanjan Mahata 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 Debanjan Mahata. Debanjan Mahata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mahata, Debanjan, et al.. (2025). M3DocVQA: Multi-Modal Multi-Page Multi-Document Understanding. 6237–6247.

Mahata, Debanjan, et al.. (2024). Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models. 56–64. 1 indexed citations

Mahata, Debanjan, et al.. (2021). On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles. 2 indexed citations

Zhang, Haimin, et al.. (2020). A Preliminary Exploration of GANs for Keyphrase Generation. 8021–8030. 19 indexed citations

Kumar, Yaman, Junyi Jessy Li, Debanjan Mahata, et al.. (2020). An Annotated Dataset of Discourse Modes in Hindi Stories. Language Resources and Evaluation. 1191–1196. 3 indexed citations

Gautam, Akash, et al.. (2020). Semi-Supervised Iterative Approach for Domain-Specific Complaint Detection in Social Media. 46–53. 1 indexed citations

Gupta, Vivek, et al.. (2020). Two-Step Classification using Recasted Data for Low Resource Settings. 706–719. 4 indexed citations

Gautam, Akash, et al.. (2020). #MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. Proceedings of the International AAAI Conference on Web and Social Media. 14. 209–216. 28 indexed citations

Chowdhury, Arijit, Ramit Sawhney, Rajiv Ratn Shah, & Debanjan Mahata. (2019). #YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media. 2527–2537. 35 indexed citations

10.

Mahata, Debanjan, et al.. (2019). MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter. 127–132. 7 indexed citations

11.

Chowdhury, Arijit, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, & Rajiv Ratn Shah. (2019). Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment. 136–146. 23 indexed citations

12.

Sarker, Abeed, Maksim Belousov, Kai Hakala, et al.. (2018). Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. Journal of the American Medical Informatics Association. 25(10). 1274–1283. 61 indexed citations

13.

Yadav, Satyendra Singh, et al.. (2018). A Multimodal Approach to Predict Social Media Popularity. 190–195. 29 indexed citations

14.

Mahata, Debanjan, et al.. (2017). InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter.. 68–71. 5 indexed citations

15.

Mahata, Debanjan & John R. Talburt. (2015). A Framework for Collecting, Extracting and Managing Event Identity Information from Twitter.. ICIQ. 2 indexed citations

16.

Mahata, Debanjan & John R. Talburt. (2014). A Framework for Collecting and Managing Entity Identity Information from Social Media. ICIQ. 3 indexed citations

17.

Mahata, Debanjan & Nitin Agarwal. (2012). What does everybody know? Identifying event-specific sources from social media. 287. 63–68. 8 indexed citations

18.

Şen, Fatih, Rolf T. Wigand, Nitin Agarwal, Debanjan Mahata, & Halil Bişğin. (2012). Identifying focal patterns in social networks. 105–108. 2 indexed citations

19.

Singh, Vivek Kumar, et al.. (2010). A clustering and opinion mining approach to socio-political analysis of the blogosphere. 1–4. 6 indexed citations

20.

Basak, Jayanta Kumar & Debanjan Mahata. (2000). A connectionist model for corner detection in binary and gray images. IEEE Transactions on Neural Networks. 11(5). 1124–1132. 16 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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