Ritesh Kumar

1.8k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

Ritesh Kumar is a scholar working on Artificial Intelligence, Social Psychology and Signal Processing. According to data from OpenAlex, Ritesh Kumar has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Social Psychology and 4 papers in Signal Processing. Recurrent topics in Ritesh Kumar's work include Hate Speech and Cyberbullying Detection (10 papers), Natural Language Processing Techniques (10 papers) and Bullying, Victimization, and Aggression (8 papers). Ritesh Kumar is often cited by papers focused on Hate Speech and Cyberbullying Detection (10 papers), Natural Language Processing Techniques (10 papers) and Bullying, Victimization, and Aggression (8 papers). Ritesh Kumar collaborates with scholars based in India, United Kingdom and United States. Ritesh Kumar's co-authors include Shervin Malmasi, Marcos Zampieri, Atul Kr. Ojha, Preslav Nakov, Sara Rosenthal, Noura Farra, Krishan Kumar, Vishal Garg, Ali Hürriyetoğlu and Erdem Yörük and has published in prestigious journals such as Environmental Pollution, Energies and Language Resources and Evaluation.

In The Last Decade

Ritesh Kumar

25 papers receiving 903 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

2019 447 citations Marcos Zampieri, Shervin Malmasi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ritesh Kumar India	10	951	186	165	156	99	29	1.0k
Benjamin D. Horne United States	10	354 0.4×	364 2.0×	96 0.6×	29 0.2×	90 0.9×	15	708
Fabio Del Vigna Italy	7	261 0.3×	80 0.4×	105 0.6×	19 0.1×	40 0.4×	7	353
Thomas R. Franz Germany	8	182 0.2×	105 0.6×	4 0.0×	66 0.4×	42 0.4×	47	451
Nagendra Kumar India	11	166 0.2×	51 0.3×	24 0.1×	16 0.1×	12 0.1×	36	255
Atul Kr. Ojha Ireland	7	406 0.4×	90 0.5×	84 0.5×	82 0.5×	52 0.5×	24	430
Мириам Реди United Kingdom	12	94 0.1×	38 0.2×	53 0.3×	11 0.1×	15 0.2×	47	368
Duncan Hodges United Kingdom	10	61 0.1×	95 0.5×	13 0.1×	29 0.2×	31 0.3×	31	278
Georgi Karadzhov United States	7	400 0.4×	90 0.5×	71 0.4×	44 0.3×	28 0.3×	10	427
Fabio Poletto Italy	5	354 0.4×	73 0.4×	96 0.6×	45 0.3×	21 0.2×	6	362
Sajeetha Thavareesan Sri Lanka	11	467 0.5×	69 0.4×	46 0.3×	34 0.2×	40 0.4×	16	491

Countries citing papers authored by Ritesh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Ritesh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritesh Kumar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kumar, Ritesh, et al.. (2023). A multilingual, multimodal dataset of aggression and bias: the ComMA dataset. Language Resources and Evaluation. 58(2). 757–837. 1 indexed citations

2.

Salesky, Elizabeth, Badr M. Abdullah, Sabrina J. Mielke, et al.. (2021). SIGTYP 2021 Shared Task: Robust Spoken Language Identification. Minerva Access (University of Melbourne). 122–129. 8 indexed citations

3.

Kumar, Ritesh, et al.. (2021). Aggressive and Offensive Language Identification in Hindi, Bangla, and English: A Comparative Study. SN Computer Science. 2(1). 23 indexed citations

4.

Hürriyetoğlu, Ali, et al.. (2021). Multilingual Protest News Detection - Shared Task 1, CASE 2021. Digital Collections portal (Koç University). 79–91. 33 indexed citations

5.

Kumar, Ritesh, et al.. (2021). Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification. Minerva Access (University of Melbourne). 3 indexed citations

6.

Kumar, Ritesh, et al.. (2020). ComMA@FIRE 2020: Exploring Multilingual Joint Training across different Classification Tasks.. 823–828.

7.

Ojha, Atul Kr., et al.. (2020). NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 418–423.

8.

Zampieri, Marcos, Shervin Malmasi, Preslav Nakov, et al.. (2019). SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval). 75–86. 447 indexed citations breakdown →

9.

Kumar, Ritesh & Atul Kr. Ojha. (2019). KMI-Panlingua at HASOC 2019: SVM vs BERT for Hate Speech and Offensive Content Detection.. 285–292. 3 indexed citations

10.

Kumar, Ritesh, et al.. (2019). bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media. 3 indexed citations

11.

Kumar, Ritesh, et al.. (2018). TRAC-1 Shared Task on Aggression Identification: IIT(ISM)$@$COLING'18.. International Conference on Computational Linguistics. 58–65. 13 indexed citations

12.

Kumar, Ritesh, Atul Kr. Ojha, Shervin Malmasi, & Marcos Zampieri. (2018). Benchmarking Aggression Identification in Social Media.. International Conference on Computational Linguistics. 1–11. 224 indexed citations

13.

Kumar, Ritesh, et al.. (2018). Part-of-Speech Annotation of English-Assamese code-mixed texts: Two Approaches. 94–103. 1 indexed citations

14.

Zampieri, Marcos, Shervin Malmasi, Preslav Nakov, et al.. (2018). Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign. Työväentutkimus Vuosikirja. 1–17. 65 indexed citations

15.

Kumar, Ritesh, et al.. (2018). Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018). 91 indexed citations

16.

Mishra, Amit Kumar, et al.. (2017). CO variability and its association with household cooking fuels consumption over the Indo-Gangetic Plains. Environmental Pollution. 222. 83–93. 12 indexed citations

17.

Kumar, Ritesh. (2014). Developing Politeness Annotated Corpus of Hindi Blogs. Language Resources and Evaluation. 1275–1280. 3 indexed citations

18.

Kumar, Ritesh. (2012). Challenges in the development of annotated corpora of computer-mediated communication in Indian Languages: A Case of Hindi. Language Resources and Evaluation. 299–302. 1 indexed citations

19.

Kumar, Ritesh, et al.. (2012). Developing a POS tagger for Magahi: A Comparative Study. 105–114. 2 indexed citations

20.

Kumar, Ritesh. (2011). A register-based annotation scheme for CO3H. 1–12. 1 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.

Explore authors with similar magnitude of impact