Sunil Kumar Mishra

569 total citations
20 papers, 307 citations indexed

About

Sunil Kumar Mishra is a scholar working on Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Computer Networks and Communications. According to data from OpenAlex, Sunil Kumar Mishra has authored 20 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Computer Networks and Communications. Recurrent topics in Sunil Kumar Mishra's work include Semantic Web and Ontologies (9 papers), AI-based Problem Solving and Planning (5 papers) and Topic Modeling (4 papers). Sunil Kumar Mishra is often cited by papers focused on Semantic Web and Ontologies (9 papers), AI-based Problem Solving and Planning (5 papers) and Topic Modeling (4 papers). Sunil Kumar Mishra collaborates with scholars based in India, United States and Australia. Sunil Kumar Mishra's co-authors include Vinay K. Chaudhri, Bruce Porter, Ken Barker, Peter E. Clark, Nandita Gupta, Ravinder Goswami, Kiran Kumar Ravulakollu, Yolanda Gil, Andrés Rodríguez and Patrick J. Hayes and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Archives of Gerontology and Geriatrics and AI Magazine.

In The Last Decade

Sunil Kumar Mishra

19 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunil Kumar Mishra India	10	177	40	30	30	29	20	307
Łukasz Juszczyk Austria	9	57 0.3×	113 2.8×	121 4.0×	52 1.7×	52 1.8×	17	312
Shan Jing China	11	119 0.7×	26 0.7×	68 2.3×	5 0.2×	24 0.8×	48	307
Fabian L. Wauthier United States	6	120 0.7×	17 0.4×	13 0.4×	22 0.7×	49 1.7×	8	331
Bing Xiang China	11	320 1.8×	107 2.7×	22 0.7×	10 0.3×	17 0.6×	36	472
Lina Li China	10	72 0.4×	69 1.7×	54 1.8×	5 0.2×	21 0.7×	40	278
Karthik Sekaran India	9	64 0.4×	121 3.0×	120 4.0×	12 0.4×	38 1.3×	32	306
Cynthia R. Marling United States	10	80 0.5×	22 0.6×	12 0.4×	14 0.5×	14 0.5×	20	359
Bisakha Ray United States	6	82 0.5×	16 0.4×	7 0.2×	9 0.3×	38 1.3×	12	196
Tony Solomonides United Kingdom	9	80 0.5×	51 1.3×	88 2.9×	39 1.3×	44 1.5×	43	256
Martina Iammarino Italy	9	54 0.3×	94 2.4×	40 1.3×	11 0.4×	13 0.4×	31	243

Countries citing papers authored by Sunil Kumar Mishra

Since Specialization

Citations

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

Fields of papers citing papers by Sunil Kumar Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Kumar Mishra

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

Ravulakollu, Kiran Kumar, et al.. (2024). Oil Spill Classification using Machine Learning. 553–559. 17 indexed citations

Ravulakollu, Kiran Kumar, et al.. (2024). Software Defect Prediction using Machine Learning. 560–566. 27 indexed citations

Mishra, Sunil Kumar, et al.. (2023). Application of Machine Learning Techniques for Detection and Segmentation of Brain Tumors. SN Computer Science. 4(5). 1 indexed citations

Samuel, Philip, V. Thenmozhi, Sunil Kumar Mishra, Nagaraj Jaganathasamy, & R Paramasivan. (2021). Seasonal abundance and infection of Japanese encephalitis vectors from Gorakhpur district, Uttar Pradesh, India. Journal of Vector Borne Diseases. 58(3). 265–272. 2 indexed citations

Mishra, Sunil Kumar, et al.. (2018). Generative adversarial networks (GANs) in machine learning: Applications and challenges. International Journal of Applied Research. 4(12). 501–505. 1 indexed citations

Kalra, Sanjay, et al.. (2016). Endocrinology in Haryana: 50 years of statehood, 15+ years of service. Indian Journal of Endocrinology and Metabolism. 21(1). 257–257.

Choudhary, Narendra S., Sanjiv Saigal, Neeraj Saraf, et al.. (2014). Sarcopenic obesity with metabolic syndrome: a newly recognized entity following living donor liver transplantation. Clinical Transplantation. 29(3). 211–215. 43 indexed citations

Sachdeva, Sandeep, Najam Khalique, M. Athar Ansari, et al.. (2014). Cultural determinants: Addressing barriers to holistic diabetes care. 3(1). 33–38. 6 indexed citations

Gunning, David, Vinay K. Chaudhri, Peter E. Clark, et al.. (2010). Project Halo Update — Progress Toward Digital Aristotle. AI Magazine. 31(3). 33–58. 41 indexed citations

10.

Chaudhri, Vinay K., et al.. (2007). Enabling experts to build knowledge bases from science textbooks. 159–166. 14 indexed citations

11.

Mishra, Sunil Kumar, Nandita Gupta, & Ravinder Goswami. (2007). Plasma Adrenocorticotropin (ACTH) Values and Cortisol Response to 250 and 1 μg ACTH Stimulation in Patients with Hyperthyroidism before and after Carbimazole Therapy: Case-Control Comparative Study. The Journal of Clinical Endocrinology & Metabolism. 92(5). 1693–1696. 21 indexed citations

12.

Ambite, José Luis, Vinay K. Chaudhri, Richard Fikes, et al.. (2006). Design and implementation of the CALO query manager. Archives of Gerontology and Geriatrics. 115. 1751–1758. 3 indexed citations

13.

Barker, Ken, Vinay K. Chaudhri, Peter E. Clark, et al.. (2004). A question-answering system for AP chemistry: assessing KR&R technologies. Principles of Knowledge Representation and Reasoning. 488–497. 24 indexed citations

14.

Barker, Ken, Jim Blythe, Vinay K. Chaudhri, et al.. (2003). A Knowledge Acquisition Tool for Course of Action Analysis. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 43–50. 26 indexed citations

15.

Clark, Peter E., et al.. (2003). Enabling domain experts to convey questions to a machine. 13–19. 8 indexed citations

16.

Barker, Ken, Vinay K. Chaudhri, Peter E. Clark, et al.. (2002). A web-based ontology browsing and editing system. National Conference on Artificial Intelligence. 927–934. 15 indexed citations

17.

Schrag, Robert, et al.. (2002). Experimental Evaluation of Subject Matter Expert-oriented Knowledge Base Authoring Tools. 5 indexed citations

18.

Clark, Peter, Patrick J. Hayes, Thomas Reichherzer, et al.. (2001). Knowledge entry as the graphical assembly of components. 3 indexed citations

19.

Clark, Peter E., John A. Thompson, Ken Barker, et al.. (2001). Knowledge entry as the graphical assembly of components. 22–29. 48 indexed citations

20.

Mishra, Sunil Kumar, S. Vemulapalli, & Prasant Mohapatra. (1995). Dual-Crosshatch Disk Array: A Highly Reliable Hybrid-RAID Architecture.. Proceedings of the International Conference on Parallel Processing. 146–149. 2 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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