Gour Karmakar

1.9k total citations
133 papers, 1.2k citations indexed

About

Gour Karmakar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Gour Karmakar has authored 133 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 45 papers in Computer Networks and Communications and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Gour Karmakar's work include Image Retrieval and Classification Techniques (28 papers), Energy Efficient Wireless Sensor Networks (20 papers) and Medical Image Segmentation Techniques (19 papers). Gour Karmakar is often cited by papers focused on Image Retrieval and Classification Techniques (28 papers), Energy Efficient Wireless Sensor Networks (20 papers) and Medical Image Segmentation Techniques (19 papers). Gour Karmakar collaborates with scholars based in Australia, United Kingdom and Bangladesh. Gour Karmakar's co-authors include Joarder Kamruzzaman, Laurence S. Dooley, Rajkumar Das, Abdullahi Chowdhury, Syed Islam, Ferdous Sohel, Manzur Murshed, Alireza Jolfaei, Bala Srinivasan and Iven Mareels and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

In The Last Decade

Gour Karmakar

123 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gour Karmakar Australia 17 425 382 293 190 112 133 1.2k
Yuan Zhou China 22 383 0.9× 516 1.4× 229 0.8× 316 1.7× 150 1.3× 137 1.5k
Deepak Garg India 19 368 0.9× 292 0.8× 392 1.3× 396 2.1× 238 2.1× 166 1.5k
Hwangnam Kim South Korea 20 897 2.1× 644 1.7× 314 1.1× 150 0.8× 211 1.9× 158 1.7k
Zhigao Zheng China 18 382 0.9× 231 0.6× 277 0.9× 414 2.2× 177 1.6× 40 1.3k
Rongbo Zhu China 21 658 1.5× 441 1.2× 116 0.4× 310 1.6× 231 2.1× 101 1.3k
Haibin Cai China 12 421 1.0× 255 0.7× 105 0.4× 353 1.9× 101 0.9× 57 997
Valéria Loscrì France 18 1.2k 2.8× 793 2.1× 190 0.6× 191 1.0× 189 1.7× 129 1.8k
Dragan Kukolj Serbia 18 145 0.3× 337 0.9× 365 1.2× 241 1.3× 57 0.5× 86 1.2k
Rupak Kharel United Kingdom 22 658 1.5× 822 2.2× 128 0.4× 161 0.8× 175 1.6× 90 1.4k
Diego Martín Spain 20 319 0.8× 289 0.8× 187 0.6× 345 1.8× 285 2.5× 96 1.2k

Countries citing papers authored by Gour Karmakar

Since Specialization
Citations

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

Fields of papers citing papers by Gour Karmakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gour Karmakar

This figure shows the co-authorship network connecting the top 25 collaborators of Gour Karmakar. A scholar is included among the top collaborators of Gour Karmakar 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 Gour Karmakar. Gour Karmakar 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.
Karmakar, Gour, Sudheer Kumar Battula, Ranesh Kumar Naha, et al.. (2025). Regional-Level Disaggregation of EV Uptake Energy Consumption Using Bottom-Up Approach. IEEE Transactions on Transportation Electrification. 11(6). 14075–14086.
2.
Karmakar, Gour, et al.. (2025). Enhancing IoT security: Assessing instantaneous communication trust to detect man-in-the-middle attacks. Future Generation Computer Systems. 166. 107714–107714.
3.
Karmakar, Gour, et al.. (2024). Sensor Self-Declaration of Numeric Data Reliability in Internet of Things. IEEE Transactions on Reliability. 74(2). 2751–2765. 6 indexed citations
4.
Islam, Mohammad Manzurul, Gour Karmakar, Joarder Kamruzzaman, Manzur Murshed, & Abdullahi Chowdhury. (2024). Trustworthiness of IoT Images Leveraging With Other Modal Sensor’s Data. IEEE Internet of Things Journal. 1–1. 1 indexed citations
5.
Newaz, S. H. Shah, et al.. (2022). Green Demand Aware Fog Computing: A Prediction-Based Dynamic Resource Provisioning Approach. Electronics. 11(4). 608–608. 9 indexed citations
6.
Kong, Xiangjie, Kailai Wang, Mingliang Hou, et al.. (2022). Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. IEEE Transactions on Intelligent Transportation Systems. 23(9). 16148–16160. 51 indexed citations
7.
Chowdhury, Abdullahi, Gour Karmakar, Joarder Kamruzzaman, Alireza Jolfaei, & Rajkumar Das. (2020). Attacks on Self-Driving Cars and Their Countermeasures: A Survey. IEEE Access. 8. 207308–207342. 98 indexed citations
8.
Islam, Mohammad Manzurul, Gour Karmakar, Joarder Kamruzzaman, & Manzur Murshed. (2020). A Robust Forgery Detection Method for Copy–Move and Splicing Attacks in Images. Electronics. 9(9). 1500–1500. 26 indexed citations
9.
Karmakar, Gour, Soma Roy, Gopinath Chattopadhyay, & Zhigang Xiao. (2017). Dynamically controlling exterior and interior window coverings through IoT for environmental friendly smart homes. FedUni ResearchOnline (Federation University Australia). 487–491. 7 indexed citations
10.
Karmakar, Gour, et al.. (2016). PRADD: A path reliability-aware data delivery protocol for underwater acoustic sensor networks. Journal of Network and Computer Applications. 75. 385–397. 19 indexed citations
11.
Kamruzzaman, Joarder, et al.. (2014). Dynamic adjustment of sensing range for event coverage in wireless sensor networks. Journal of Network and Computer Applications. 46. 139–153. 31 indexed citations
12.
13.
14.
Dooley, Laurence S., et al.. (2005). Automatic Feature Set Selection for Merging Image Segmentation Results Using Fuzzy Clustering. Open Research Online (The Open University). 337–342. 3 indexed citations
15.
Karmakar, Gour, et al.. (2004). Image segmentation using fuzzy clustering incorporating spatial information. Open Research Online (The Open University). 878–881. 6 indexed citations
16.
Karmakar, Gour, et al.. (2004). Fuzzy Image Segmentation using Suppressed Fuzzy C-Means Clustering (SFCM). Open Research Online (The Open University). 363–368. 2 indexed citations
17.
Dooley, Laurence S., et al.. (2004). Fuzzy image segmentation considering object surface similarity. 507–510. 3 indexed citations
18.
Sohel, Ferdous, Laurence S. Dooley, & Gour Karmakar. (2004). A modified distortion measurement algorithm for shape coding. UWA Profiles and Research Repository (University of Western Australia). 402–407. 2 indexed citations
19.
Karmakar, Gour, Laurence S. Dooley, & Syed M Rahman. (2000). A SURVEY OF FUZZY RULE BASED IMAGE SEGMENTATION TECHNIQUES. Open Research Online (The Open University). 350–353. 2 indexed citations
20.
Rahman, Syed M, et al.. (1998). Self-organising map for shape based image classification.. Computers and Their Applications. 291–294. 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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