Geeta Sikka

1.5k total citations
76 papers, 955 citations indexed

About

Geeta Sikka is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Geeta Sikka has authored 76 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Information Systems, 27 papers in Artificial Intelligence and 23 papers in Computer Networks and Communications. Recurrent topics in Geeta Sikka's work include IoT and Edge/Fog Computing (10 papers), Service-Oriented Architecture and Web Services (10 papers) and Software Engineering Research (9 papers). Geeta Sikka is often cited by papers focused on IoT and Edge/Fog Computing (10 papers), Service-Oriented Architecture and Web Services (10 papers) and Software Engineering Research (9 papers). Geeta Sikka collaborates with scholars based in India, United States and Saudi Arabia. Geeta Sikka's co-authors include Harsh Kumar Verma, Arun Malik, Lalit Kumar Awasthi, Nonita Sharma, Renu Dhir, Apoorv Agarwal, Vivek Sharma, Samayveer Singh, Mohit Gupta and Sumandeep Kaur and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and IEEE Internet of Things Journal.

In The Last Decade

Geeta Sikka

70 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geeta Sikka India 17 344 287 272 183 128 76 955
Quang Do United States 15 392 1.1× 253 0.9× 85 0.3× 184 1.0× 196 1.5× 29 802
Shuhan Yuan United States 15 594 1.7× 157 0.5× 92 0.3× 369 2.0× 134 1.0× 40 978
Fiammetta Marulli Italy 14 214 0.6× 196 0.7× 128 0.5× 232 1.3× 100 0.8× 48 673
Lorcan Coyle Ireland 15 403 1.2× 364 1.3× 320 1.2× 255 1.4× 113 0.9× 43 931
Kyungho Lee South Korea 13 219 0.6× 389 1.4× 75 0.3× 296 1.6× 232 1.8× 119 803
Saad M. Darwish Egypt 16 274 0.8× 189 0.7× 302 1.1× 132 0.7× 89 0.7× 122 879
Spyros Sioutas Greece 15 372 1.1× 308 1.1× 148 0.5× 335 1.8× 130 1.0× 127 1.1k
Pablo Basanta Val Spain 18 324 0.9× 347 1.2× 122 0.4× 548 3.0× 44 0.3× 68 1.2k
Wael Khreich Canada 12 574 1.7× 214 0.7× 67 0.2× 280 1.5× 225 1.8× 24 971
Min Yang China 22 1.0k 3.0× 394 1.4× 372 1.4× 86 0.5× 78 0.6× 90 1.5k

Countries citing papers authored by Geeta Sikka

Since Specialization
Citations

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

Fields of papers citing papers by Geeta Sikka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geeta Sikka

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

All Works

20 of 20 papers shown
1.
2.
Sikka, Geeta, et al.. (2025). Transformer-Dilated ResUNet: An Efficient and Accurate Framework for Polyp Segmentation. Procedia Computer Science. 259. 1765–1772.
3.
Sikka, Geeta, et al.. (2024). A systematic literature review on pancreas segmentation from traditional to non-supervised techniques in abdominal medical images. Artificial Intelligence Review. 57(12). 4 indexed citations
4.
Sikka, Geeta, et al.. (2024). LBATSM: Load Balancing Aware Task Selection and Migration Approach in Fog Computing Environment. IEEE Systems Journal. 18(2). 796–804. 7 indexed citations
5.
Sikka, Geeta, et al.. (2024). Deadline-aware and energy efficient IoT task scheduling using fuzzy logic in fog computing. Multimedia Tools and Applications. 84(15). 14359–14386. 5 indexed citations
6.
Sikka, Geeta, et al.. (2024). Energy Conscious Squirrel Search based Task Scheduling Mechanism in Fog Environment. Transactions on Emerging Telecommunications Technologies. 35(10).
7.
8.
Yadav, Vaibhav, et al.. (2024). Integrated Violence and Weapon Detection Using Deep Learning. 563–568.
9.
Dhir, Renu, et al.. (2024). View adaptive unified self-supervised technique for abdominal organ segmentation. Computers in Biology and Medicine. 177. 108659–108659. 1 indexed citations
10.
Sharma, Nonita, et al.. (2023). On the importance of pre-processing in small-scale analyses of twitter: a case study of the 2019 Indian general election. Multimedia Tools and Applications. 83(7). 19219–19258. 1 indexed citations
11.
Sharma, Nonita, et al.. (2023). Application of Twitter sentiment analysis in election prediction: a case study of 2019 Indian general election. Social Network Analysis and Mining. 13(1). 4 indexed citations
12.
Sikka, Geeta, et al.. (2022). A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation. Computer Science Review. 45. 100498–100498. 17 indexed citations
13.
Singh, Samayveer, Aridaman Singh Nandan, Geeta Sikka, Arun Malik, & Ankit Vidyarthi. (2022). A secure energy-efficient routing protocol for disease data transmission using IoMT. Computers & Electrical Engineering. 101. 108113–108113. 22 indexed citations
14.
Sharma, Nonita, et al.. (2021). Multimodal Sentiment Analysis of Social Media Data: A Review. Lecture notes in electrical engineering. 545–561. 4 indexed citations
15.
Sharma, Nonita, et al.. (2020). The emergence of social media data and sentiment analysis in election prediction. Journal of Ambient Intelligence and Humanized Computing. 12(2). 2601–2627. 115 indexed citations
16.
Sikka, Geeta, et al.. (2020). MRS-DP: Improving Performance and Resource Utilization of Big Data Applications with Deadlines and Priorities. Big Data. 8(4). 323–331. 3 indexed citations
17.
Sikka, Geeta, et al.. (2020). STDADS: An Efficient Slow Task Detection Algorithm for Deadline Schedulers. Big Data. 8(1). 62–69. 4 indexed citations
18.
Malik, Arun, Geeta Sikka, & Harsh Kumar Verma. (2019). A high capacity data hiding scheme using modified AMBTC compression technique.. The International Arab Journal of Information Technology. 16. 148–155. 9 indexed citations
19.
Sikka, Geeta & Renu Dhir. (2017). An Investigation on the Metric Threshold for Fault- Proneness. International Journal of Education and Management Engineering. 7(3). 35–42. 2 indexed citations
20.
Malik, Arun, Geeta Sikka, & Harsh Kumar Verma. (2015). A Modified Pixel-Value Differencing Image Steganographic Scheme with Least Significant Bit Substitution Method. International Journal of Image Graphics and Signal Processing. 7(4). 68–74. 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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