Muralidhar Kurni

509 total citations
10 papers, 55 citations indexed

About

Muralidhar Kurni is a scholar working on Computer Networks and Communications, Education and Computer Science Applications. According to data from OpenAlex, Muralidhar Kurni has authored 10 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 2 papers in Education and 2 papers in Computer Science Applications. Recurrent topics in Muralidhar Kurni's work include Technology-Enhanced Education Studies (2 papers), IoT and Edge/Fog Computing (1 paper) and COVID-19 and Mental Health (1 paper). Muralidhar Kurni is often cited by papers focused on Technology-Enhanced Education Studies (2 papers), IoT and Edge/Fog Computing (1 paper) and COVID-19 and Mental Health (1 paper). Muralidhar Kurni collaborates with scholars based in India and United States. Muralidhar Kurni's co-authors include K. G. Srinivasa, Sana Mujeeb and Kaushik Kumar and has published in prestigious journals such as Advances in Engineering Software, International Journal of Emerging Technologies in Learning (iJET) and International Journal of Communication Systems.

In The Last Decade

Muralidhar Kurni

9 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muralidhar Kurni India	5	19	18	14	13	9	10	55
Mustafa Murat İnceoğlu Türkiye	5	20 1.1×	8 0.4×	12 0.9×	11 0.8×	13 1.4×	18	54
Roger Carff United States	4	20 1.1×	29 1.6×	28 2.0×	26 2.0×	13 1.4×	5	81
Yolaine Bourda France	6	42 2.2×	36 2.0×	15 1.1×	25 1.9×	9 1.0×	16	70
John A. Erickson United States	5	32 1.7×	38 2.1×	23 1.6×	15 1.2×	8 0.9×	5	79
Jialu Zhao United States	5	17 0.9×	13 0.7×	15 1.1×	14 1.1×	7 0.8×	8	65
Y. Zeng China	5	31 1.6×	12 0.7×	21 1.5×	19 1.5×	11 1.2×	12	87
Atm Ad Aerts Netherlands	4	12 0.6×	22 1.2×	6 0.4×	22 1.7×	8 0.9×	10	49
Christophe Reffay France	6	21 1.1×	25 1.4×	27 1.9×	13 1.0×	22 2.4×	22	81
Rocael Hernández Rizzardini Spain	7	71 3.7×	18 1.0×	38 2.7×	34 2.6×	19 2.1×	25	111
Sébastien Iksal France	2	18 0.9×	9 0.5×	5 0.4×	6 0.5×	17 1.9×	4	27

Countries citing papers authored by Muralidhar Kurni

Since Specialization

Citations

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

Fields of papers citing papers by Muralidhar Kurni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muralidhar Kurni

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

All Works

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10 of 10 papers shown

1.

Kurni, Muralidhar, et al.. (2025). Osprey–Lyrebird Optimization‐Based Resource Allocation With Optimal Edge‐Server Placement and Offloading in Mobile‐Edge Server Computing. International Journal of Communication Systems. 38(13).

2.

Kurni, Muralidhar & K. G. Srinivasa. (2024). The Internet of Educational Things. 1 indexed citations

3.

Kurni, Muralidhar, et al.. (2023). A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning. 13 indexed citations

4.

Srinivasa, K. G., et al.. (2022). Learning, Teaching, and Assessment Methods for Contemporary Learners. 12 indexed citations

5.

Kurni, Muralidhar, et al.. (2022). MRPO-Deep maxout: Manta ray political optimization based Deep maxout network for big data intrusion detection using spark architecture. Advances in Engineering Software. 174. 103324–103324. 6 indexed citations

6.

Kurni, Muralidhar, et al.. (2022). Applying Learning Analytics for Designing Effective Pedagogy for Online Courses: Analysis and Recommendations. International Journal of Emerging Technologies in Learning (iJET). 17(13). 145–156. 3 indexed citations

7.

Kumar, Kaushik & Muralidhar Kurni. (2022). Design Thinking. 2 indexed citations

8.

Srinivasa, K. G. & Muralidhar Kurni. (2021). A Beginner’s Guide to Learning Analytics. 4 indexed citations

9.

Kurni, Muralidhar, et al.. (2021). Applying Collaborative Learning for Enhancing the Teaching-Learning Process in Online Learning through Social Media. International Journal of Emerging Technologies in Learning (iJET). 16(16). 251–251. 12 indexed citations

10.

Kurni, Muralidhar, et al.. (2020). Approaches to Address the Operational Limitations of MANETs through Ad Hoc Mobile Cloud Computing Paradigm. International Journal of Interactive Mobile Technologies (iJIM). 14(9). 153–153. 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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