Surabhi Adhikari

602 total citations
13 papers, 299 citations indexed

About

Surabhi Adhikari is a scholar working on Artificial Intelligence, Information Systems and Building and Construction. According to data from OpenAlex, Surabhi Adhikari has authored 13 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Building and Construction. Recurrent topics in Surabhi Adhikari's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). Surabhi Adhikari is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). Surabhi Adhikari collaborates with scholars based in India, Australia and United States. Surabhi Adhikari's co-authors include Surendrabikram Thapa, Rahul Kumar, Avinash Kumar Jha, Mukesh Prasad, Gnana Bharathy, Usman Naseem, Priyanka Singh, Huan Huo, Ankit Kumar and Hai Lü and has published in prestigious journals such as Neural Networks, Annals of Biomedical Engineering and International Journal of Human-Computer Studies.

In The Last Decade

Surabhi Adhikari

12 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Surabhi Adhikari India	10	142	49	42	37	22	13	299
Surendrabikram Thapa United States	13	202 1.4×	72 1.5×	49 1.2×	42 1.1×	26 1.2×	49	444
Jörg Schlötterer Germany	7	228 1.6×	35 0.7×	42 1.0×	16 0.4×	12 0.5×	25	339
G. Deepti Raj India	4	121 0.9×	21 0.4×	41 1.0×	18 0.5×	15 0.7×	10	269
Md Tahmid Rahman Laskar Canada	11	258 1.8×	41 0.8×	41 1.0×	16 0.4×	21 1.0×	24	352
Muhammad Mujahid Saudi Arabia	10	257 1.8×	56 1.1×	26 0.6×	92 2.5×	10 0.5×	32	508
Milad Moradi Austria	11	274 1.9×	44 0.9×	40 1.0×	12 0.3×	15 0.7×	17	371
Moon-Il Joo South Korea	9	98 0.7×	129 2.6×	32 0.8×	27 0.7×	6 0.3×	25	370
Wenxiong Liao China	8	197 1.4×	28 0.6×	29 0.7×	16 0.4×	14 0.6×	16	271
Harsha Nori United States	6	224 1.6×	27 0.6×	48 1.1×	7 0.2×	16 0.7×	12	347
Katikapalli Subramanyam Kalyan India	5	154 1.1×	16 0.3×	30 0.7×	17 0.5×	12 0.5×	6	253

Countries citing papers authored by Surabhi Adhikari

Since Specialization

Citations

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

Fields of papers citing papers by Surabhi Adhikari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surabhi Adhikari

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

13 of 13 papers shown

Rashid, Junaid, et al.. (2025). NepAES: exploring the promise of automated essay scoring for Nepali essays. PeerJ Computer Science. 11. e3253–e3253.

Thapa, Surendrabikram, et al.. (2025). Large language models (LLM) in computational social science: prospects, current state, and challenges. Social Network Analysis and Mining. 15(1). 9 indexed citations

Adhikari, Surabhi, Surendrabikram Thapa, Usman Naseem, et al.. (2023). Explainable hybrid word representations for sentiment analysis of financial news. Neural Networks. 164. 115–123. 19 indexed citations

Thapa, Surendrabikram & Surabhi Adhikari. (2023). ChatGPT, Bard, and Large Language Models for Biomedical Research: Opportunities and Pitfalls. Annals of Biomedical Engineering. 51(12). 2647–2651. 64 indexed citations

Bhat, Aruna, et al.. (2022). Deep Learning Based Hybrid Word Representation for Detection of Hate Speech. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 2128–2133. 1 indexed citations

Adhikari, Surabhi, Surendrabikram Thapa, Priyanka Singh, et al.. (2021). A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease. 1–8. 12 indexed citations

Adhikari, Surabhi, Surendrabikram Thapa, Usman Naseem, et al.. (2021). Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques. International Journal of Human-Computer Studies. 160. 102761–102761. 37 indexed citations

Thapa, Surendrabikram, et al.. (2020). Accelerating Business Growth with Big Data and Artificial Intelligence. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 441–448. 33 indexed citations

Jha, Avinash Kumar, et al.. (2020). Evaluation of Factors Affecting Compressive Strength of Concrete using Machine Learning. 70–74. 9 indexed citations

10.

Thapa, Surendrabikram, et al.. (2020). AI and IoT Solutions for Tackling COVID-19 Pandemic. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). 1083–1092. 31 indexed citations

11.

Thapa, Surendrabikram, et al.. (2020). Feature Selection Based Twin-Support Vector Machine for the Diagnosis of Parkinson’s Disease. 1–6. 23 indexed citations

12.

Kumar, Rahul, et al.. (2020). NLP based Machine Learning Approaches for Text Summarization. 535–538. 45 indexed citations

13.

Adhikari, Surabhi, et al.. (2020). Oversampling based Classifiers for Categorization of Radar Returns from the Ionosphere. 975–978. 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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