M. Anand Kumar

3.5k total citations
180 papers, 1.8k citations indexed

About

M. Anand Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, M. Anand Kumar has authored 180 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 23 papers in Information Systems. Recurrent topics in M. Anand Kumar's work include Natural Language Processing Techniques (82 papers), Topic Modeling (73 papers) and Advanced Text Analysis Techniques (19 papers). M. Anand Kumar is often cited by papers focused on Natural Language Processing Techniques (82 papers), Topic Modeling (73 papers) and Advanced Text Analysis Techniques (19 papers). M. Anand Kumar collaborates with scholars based in India, United States and Ireland. M. Anand Kumar's co-authors include K. P. Soman, Bharathi Raja Chakravarthi, Richard W. Olshavsky, Maryon F. King, Thomas Mandl, Suresh Rajendran, Soman K.P., B. Premjith, Sandip Modha and S. J. Pawan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Human Brain Mapping.

In The Last Decade

M. Anand Kumar

167 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Anand Kumar India	23	1.1k	265	161	145	123	180	1.8k
Nasser Ghasem-Aghaee Iran	17	600 0.5×	146 0.6×	185 1.1×	106 0.7×	59 0.5×	50	1.1k
Mervyn Jack United Kingdom	19	931 0.8×	310 1.2×	337 2.1×	206 1.4×	31 0.3×	87	2.0k
Bum Chul Kwon United States	23	633 0.6×	937 3.5×	106 0.7×	204 1.4×	37 0.3×	61	1.7k
Paulus Insap Santosa Indonesia	19	401 0.4×	160 0.6×	464 2.9×	152 1.0×	109 0.9×	183	1.7k
Nataša Milić-Frayling United Kingdom	20	812 0.7×	359 1.4×	618 3.8×	245 1.7×	41 0.3×	82	2.1k
Ji Soo Yi United States	20	440 0.4×	1.2k 4.6×	163 1.0×	396 2.7×	42 0.3×	58	2.0k
Nikolaos Avouris Greece	26	451 0.4×	433 1.6×	565 3.5×	222 1.5×	42 0.3×	151	2.3k
Leonor M. Pérez Spain	9	245 0.2×	189 0.7×	25 0.2×	165 1.1×	39 0.3×	24	976
Max L. Wilson United Kingdom	23	387 0.4×	295 1.1×	517 3.2×	162 1.1×	20 0.2×	122	1.6k
Federico Cecconi Italy	12	455 0.4×	111 0.4×	119 0.7×	221 1.5×	32 0.3×	33	2.0k

Countries citing papers authored by M. Anand Kumar

Since Specialization

Citations

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

Fields of papers citing papers by M. Anand Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Anand Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Anand Kumar. A scholar is included among the top collaborators of M. Anand 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 M. Anand Kumar. M. Anand 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

Kumar, M. Anand, et al.. (2024). Impact of Rhetorical Roles in Abstractive Legal Document Summarization. 1–6.

Kumar, M. Anand, et al.. (2024). Classifying Emotional States Through EEG-Derived Spectrograms. 1–5. 1 indexed citations

Kumar, M. Anand, et al.. (2024). Fake News Detection in Telugu Language using Transformers Models. 1–6.

Kumar, M. Anand, et al.. (2023). Overlapping word removal is all you need: revisiting data imbalance in hope speech detection. Journal of Experimental & Theoretical Artificial Intelligence. 36(8). 1837–1859. 4 indexed citations

Rajalakshmi, R., et al.. (2022). HOTTEST: Hate and Offensive content identification in Tamil using Transformers and Enhanced STemming. Computer Speech & Language. 78. 101464–101464. 12 indexed citations

Chakravarthi, Bharathi Raja, M. Anand Kumar, John P. McCrae, et al.. (2020). Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix. 112–120. 30 indexed citations

Kannimuthu, S., et al.. (2018). KCE_DAlab@MAPonSMS-FIRE2018: Effective word and character-based features for Multilingual Author Profiling.. 213–222. 1 indexed citations

Soman, K. P., et al.. (2018). Overview of Arnekt IECSIL at Fire-2018 track on information extraction for conversational systems in Indian languages. CEUR Workshop Proceedings. 2266. 119–128. 1 indexed citations

Kumar, M. Anand, et al.. (2017). NLP CEN AMRITA SMM4H: Health care text classification through class embeddings. CEUR Workshop Proceedings. 1996. 1 indexed citations

10.

Kannimuthu, S., et al.. (2017). KEC_DAlab @ EventXtract-IL-FIRE2017: Event Extraction using Support Vector Machines.. 144–146. 1 indexed citations

11.

Singh, Saurabh, et al.. (2016). CEN@Amrita FIRE 2016: Context based character embeddings for entity extraction in code-mixed text. CEUR Workshop Proceedings. 1737. 321–324. 3 indexed citations

12.

Kumar, M. Anand, et al.. (2016). DPIL@FIRE 2016: Overview of shared task on detecting paraphrases in Indian Languages (DPIL). CEUR Workshop Proceedings. 1737. 3 indexed citations

13.

Kumar, M. Anand, et al.. (2016). Conditional random fields for code mixed Entity Recognition. CEUR Workshop Proceedings. 1737. 309–312. 3 indexed citations

14.

Kumar, M. Anand, et al.. (2016). Unsupervised word embedding based polarity detection for tamil tweets. Control theory & applications. 9. 10 indexed citations

15.

Kumar, M. Anand, et al.. (2016). AMRITA_CEN@FIRE 2016: Code-Mix Entity Extraction for Hindi-English and Tamil-English Tweets.. CEUR Workshop Proceedings. 1737. 304–308. 10 indexed citations

16.

Kumar, M. Anand, et al.. (2015). Sentiment analysis of tamil movie reviews via feature frequency count. International Journal of Applied Engineering Research. 10(20). 7 indexed citations

17.

Kumar, M. Anand, et al.. (2014). AMRITA@ FIRE-2014: Morpheme Extraction for Tamil using Machine Learning (Working notes). 1 indexed citations

18.

Kumar, M. Anand, Suresh Rajendran, & K. P. Soman. (2014). Tamil word sense disambiguation using support vector machines with rich features. International Journal of Applied Engineering Research. 9. 8 indexed citations

19.

Kumar, M. Anand, et al.. (2012). Morphological analyzer for Malayalam using machine learning. Lecture notes in computer science. 1 indexed citations

20.

Singh, Mewa, et al.. (1999). Status survey of slender loris Loris tardigradus lydekkerianus in Dindigul, Tamil Nadu, India. Oryx. 33(1). 31–37. 28 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