Dinesh Gopalani

810 total citations
50 papers, 424 citations indexed

About

Dinesh Gopalani is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Dinesh Gopalani has authored 50 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 16 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Dinesh Gopalani's work include Topic Modeling (12 papers), Advanced Text Analysis Techniques (12 papers) and Cognitive Radio Networks and Spectrum Sensing (7 papers). Dinesh Gopalani is often cited by papers focused on Topic Modeling (12 papers), Advanced Text Analysis Techniques (12 papers) and Cognitive Radio Networks and Spectrum Sensing (7 papers). Dinesh Gopalani collaborates with scholars based in India and Namibia. Dinesh Gopalani's co-authors include Yogesh Kumar Meena, Ritu Sharma, Manish Jain, Mayank Jain, Ashish Jain, Rajesh Kumar, Manoj Singh Gaur, Tarun Jain, Meenakshi Tripathi and Mushtaq Ahmed and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Dinesh Gopalani

41 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dinesh Gopalani India	13	287	124	51	41	38	50	424
Arthur Sandor Voundi Koe China	11	190 0.7×	179 1.4×	83 1.6×	32 0.8×	40 1.1×	26	330
Geetha Jagannathan United States	7	428 1.5×	94 0.8×	43 0.8×	48 1.2×	75 2.0×	11	485
Yun-Cheng Wang United States	8	196 0.7×	61 0.5×	24 0.5×	62 1.5×	25 0.7×	23	347
Richard Frost Canada	9	218 0.8×	69 0.6×	118 2.3×	31 0.8×	22 0.6×	43	343
Yasuyuki Tahara Japan	9	180 0.6×	136 1.1×	95 1.9×	19 0.5×	44 1.2×	99	315
S. Venkatesan India	11	194 0.7×	157 1.3×	180 3.5×	52 1.3×	27 0.7×	50	402
Aïcha Mokhtari Algeria	9	142 0.5×	86 0.7×	91 1.8×	43 1.0×	25 0.7×	30	239
Huayi Duan Hong Kong	12	390 1.4×	233 1.9×	118 2.3×	44 1.1×	55 1.4×	26	532

Countries citing papers authored by Dinesh Gopalani

Since Specialization

Citations

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

Fields of papers citing papers by Dinesh Gopalani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Gopalani

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

All Works

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20 of 20 papers shown

Meena, Yogesh Kumar, et al.. (2024). Deep learning with the generative models for recommender systems: A survey. Computer Science Review. 53. 100646–100646. 4 indexed citations

Meena, Yogesh Kumar, et al.. (2024). CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation. Information Sciences. 689. 121337–121337. 2 indexed citations

Jain, Tarun, Dinesh Gopalani, & Yogesh Kumar Meena. (2024). Image Tweet Classification for Crisis Informative Task. 1–6.

Gopalani, Dinesh, et al.. (2024). Validata: Enhancing Fake News Detection Using Recursive Feature Selection and Machine Learning in Web-Based Applications. 1–6.

Jain, Tarun, Dinesh Gopalani, & Yogesh Kumar Meena. (2024). Classification of Humanitarian Crisis Response Through Unimodal Multi-Class Textual Classification. 151–156. 1 indexed citations

Meena, Yogesh Kumar, et al.. (2023). Aspect based sentiment analysis using deep learning approaches: A survey. Computer Science Review. 49. 100576–100576. 40 indexed citations

Jain, Mayank, Dinesh Gopalani, & Yogesh Kumar Meena. (2023). ConFake: fake news identification using content based features. Multimedia Tools and Applications. 83(3). 8729–8755. 12 indexed citations

Ahmed, Mushtaq, et al.. (2023). An Efficient Fuzzy-Based Vaccine Distribution Using Blockchain Technology. International Journal of Computing and Digital Systems. 14(1). 519–530.

Sharma, Ritu, Dinesh Gopalani, & Yogesh Kumar Meena. (2022). An anatomization of research paper recommender system: Overview, approaches and challenges. Engineering Applications of Artificial Intelligence. 118. 105641–105641. 12 indexed citations

10.

Gopalani, Dinesh, et al.. (2022). An efficient spectrum sensing over $$\eta - \mu$$ fading on sub 6 GHz bands: A real-time implementation on USRP RIO. Wireless Networks. 28(6). 2567–2577. 3 indexed citations

11.

Ahmed, Mushtaq, et al.. (2021). Empirical Study of Standard Elliptic Curve Domain Parameters for IoT Devices. 1–6. 2 indexed citations

12.

Gopalani, Dinesh, et al.. (2021). Location based detection mechanism for PUEA on CR enabled 5G-IoT network. 331–336. 2 indexed citations

13.

Meena, Yogesh Kumar, et al.. (2021). A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation. Expert Systems with Applications. 179. 115047–115047. 3 indexed citations

14.

Gopalani, Dinesh, et al.. (2020). DISCERN: Enhanced Dynamic noISe varianCe based EneRgy sensing for cognitive radio using USRP at Wi‐Fi bands. International Journal of Communication Systems. 33(15). 3 indexed citations

15.

Gopalani, Dinesh, et al.. (2019). An adaptive threshold energy detection mechanism using GNU Radio on USRP. 251–258. 5 indexed citations

16.

Sharma, Ritu, Dinesh Gopalani, & Yogesh Kumar Meena. (2017). Collaborative filtering-based recommender system: Approaches and research challenges. 1–6. 38 indexed citations

17.

Jain, Manish & Dinesh Gopalani. (2017). Automated Java Testing: Junit Versus Aspectj. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

18.

Gaur, Manoj Singh, et al.. (2016). ATMAC: adaptive token‐based medium access control protocol for cognitive radio wireless mesh network. International Journal of Communication Systems. 29(17). 2503–2516. 2 indexed citations

19.

Meena, Yogesh Kumar, et al.. (2015). Optimal Features Set for Extractive Automatic Text Summarization. 35–40. 7 indexed citations

20.

Tripathi, Meenakshi, et al.. (2015). Cognitive radio ad-hoc networks: Attacks and its impact. 6. 125–130. 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.

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