Suneel Sharma

804 total citations · 1 hit paper
8 papers, 443 citations indexed

About

Suneel Sharma is a scholar working on Artificial Intelligence, Accounting and Organic Chemistry. According to data from OpenAlex, Suneel Sharma has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Accounting and 2 papers in Organic Chemistry. Recurrent topics in Suneel Sharma's work include Financial Distress and Bankruptcy Prediction (3 papers), Synthesis and biological activity (2 papers) and Organizational and Employee Performance (2 papers). Suneel Sharma is often cited by papers focused on Financial Distress and Bankruptcy Prediction (3 papers), Synthesis and biological activity (2 papers) and Organizational and Employee Performance (2 papers). Suneel Sharma collaborates with scholars based in Australia, Singapore and United States. Suneel Sharma's co-authors include K. Maddulety, Shalini Chandra, Mehregan Mahdavi, Deepti Pandita, Ajmer Singh Grewal, Ashok Kumar, Vikas Kumar, A. Seetharaman and Shalabh Sharma and has published in prestigious journals such as Sustainability, Archiv der Pharmazie and Risks.

In The Last Decade

Suneel Sharma

8 papers receiving 417 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.

Machine Learning in Banking Risk Management: A Literature Review

2019 230 citations Suneel Sharma, K. Maddulety et al. Risks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suneel Sharma Australia	5	154	104	98	91	82	8	443
Kiran Sood India	11	86 0.6×	48 0.5×	64 0.7×	116 1.3×	56 0.7×	34	433
Dimitris N. Chorafas United States	11	82 0.5×	70 0.7×	103 1.1×	88 1.0×	77 0.9×	119	532
Roger Stein United States	6	109 0.7×	222 2.1×	66 0.7×	78 0.9×	27 0.3×	13	489
Anis El Ammari Tunisia	10	69 0.4×	44 0.4×	162 1.7×	73 0.8×	57 0.7×	25	417
Raul Valverde Canada	11	145 0.9×	55 0.5×	34 0.3×	136 1.5×	59 0.7×	69	392
Peter Yeoh United Kingdom	11	245 1.6×	48 0.5×	97 1.0×	112 1.2×	113 1.4×	51	514
Chin‐Shien Lin Taiwan	9	130 0.8×	68 0.7×	105 1.1×	49 0.5×	193 2.4×	18	554
Chun‐Ling Chuang Taiwan	11	51 0.3×	227 2.2×	154 1.6×	44 0.5×	47 0.6×	21	502
Rua‐Huan Tsaih Taiwan	9	49 0.3×	225 2.2×	110 1.1×	56 0.6×	34 0.4×	45	545
Ye Guo China	4	499 3.2×	84 0.8×	34 0.3×	258 2.8×	91 1.1×	5	647

Countries citing papers authored by Suneel Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Suneel Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suneel Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Suneel Sharma. A scholar is included among the top collaborators of Suneel Sharma 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 Suneel Sharma. Suneel Sharma 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:

8 of 8 papers shown

1.

Chandra, Shalini, et al.. (2024). Adoption Intention of Blockchain Technologies for Sustainable Supply Chain Management in Indian MSMEs. Sustainability. 16(19). 8527–8527. 3 indexed citations

2.

Sharma, Suneel, et al.. (2021). Machine Learning (ML) Technologies for Digital Credit Scoring in Rural Finance: A Literature Review. Risks. 9(11). 192–192. 35 indexed citations

3.

Chandra, Shalini, et al.. (2020). Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework. Sustainability. 12(18). 7638–7638. 156 indexed citations

4.

Sharma, Suneel, et al.. (2020). Deep Learning for Information Extraction in Finance Documents — Corporate Loan Operations. 326–332. 2 indexed citations

5.

Sharma, Suneel, et al.. (2019). Machine Learning in Banking Risk Management: A Literature Review. Risks. 7(1). 29–29. 230 indexed citations breakdown →

6.

Grewal, Ajmer Singh, et al.. (2017). Synthesis, Docking and Evaluation of Novel Pyrazole Carboxamide Derivatives as Multifunctional Anti-Alzheimer's Agents. 2(1). 47–54. 7 indexed citations

7.

Maddulety, K., et al.. (2017). Factors Influencing Purchase of Smart Appliances in Smart Homes. 24(1). 21–42. 4 indexed citations

8.

Kumar, Vikas, et al.. (2010). Synthesis and Evaluation of Novel Indolylthiadiazinoazetidinones and Indolylthiadiazinothiazolidinones as Antimicrobial Agents. Archiv der Pharmazie. 343(2). 98–107. 6 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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