Lalit Kumar Awasthi

3.7k total citations · 2 hit papers
149 papers, 2.4k citations indexed

About

Lalit Kumar Awasthi is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Lalit Kumar Awasthi has authored 149 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Networks and Communications, 50 papers in Information Systems and 30 papers in Electrical and Electronic Engineering. Recurrent topics in Lalit Kumar Awasthi's work include IoT and Edge/Fog Computing (23 papers), Mobile Ad Hoc Networks (23 papers) and Opportunistic and Delay-Tolerant Networks (20 papers). Lalit Kumar Awasthi is often cited by papers focused on IoT and Edge/Fog Computing (23 papers), Mobile Ad Hoc Networks (23 papers) and Opportunistic and Delay-Tolerant Networks (20 papers). Lalit Kumar Awasthi collaborates with scholars based in India, France and Taiwan. Lalit Kumar Awasthi's co-authors include Amrit Lal Sangal, Satnam Kaur, Gaurav Dhiman, Teek Parval Sharma, Ishana Attri, Siddhartha Chauhan, Geeta Sikka, Pranjal Kumar, Naveen Chauhan and Priyanka Rathee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Lalit Kumar Awasthi

133 papers receiving 2.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization

2020 957 citations Satnam Kaur, Lalit Kumar Awasthi et al. profile →
A review of deep learning techniques used in agriculture

2023 177 citations Ishana Attri, Lalit Kumar Awasthi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lalit Kumar Awasthi India	19	796	779	503	394	255	149	2.4k
Moez Krichen Tunisia	31	870 1.1×	808 1.0×	471 0.9×	819 2.1×	355 1.4×	165	3.2k
Siti Zaiton Mohd Hashim Malaysia	26	430 0.5×	1.0k 1.3×	771 1.5×	328 0.8×	397 1.6×	173	3.0k
Salwani Abdullah Malaysia	34	616 0.8×	1.7k 2.1×	281 0.6×	488 1.2×	238 0.9×	146	3.3k
Farzad Kiani Türkiye	22	490 0.6×	674 0.9×	390 0.8×	115 0.3×	270 1.1×	63	1.8k
Hari Mohan Pandey United Kingdom	31	583 0.7×	923 1.2×	484 1.0×	230 0.6×	909 3.6×	113	3.1k
Hamza Turabieh Saudi Arabia	31	307 0.4×	1.3k 1.7×	251 0.5×	398 1.0×	344 1.3×	85	2.8k
Korhan Cengiz Türkiye	22	695 0.9×	485 0.6×	638 1.3×	266 0.7×	177 0.7×	119	2.0k
Shi Dong China	19	952 1.2×	892 1.1×	357 0.7×	302 0.8×	317 1.2×	106	2.4k
Mohamed Abouhawwash Egypt	29	652 0.8×	1.6k 2.0×	808 1.6×	374 0.9×	571 2.2×	210	3.9k
Chen Wang China	27	647 0.8×	1.0k 1.3×	658 1.3×	334 0.8×	209 0.8×	163	2.6k

Countries citing papers authored by Lalit Kumar Awasthi

Since Specialization

Citations

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

Fields of papers citing papers by Lalit Kumar Awasthi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lalit Kumar Awasthi. 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 Lalit Kumar Awasthi. The network helps show where Lalit Kumar Awasthi may publish in the future.

Co-authorship network of co-authors of Lalit Kumar Awasthi

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

20 of 20 papers shown

Attri, Ishana, et al.. (2025). Enhancing fine-grained image segmentation: a wavelet-attention U-Net approach. International Journal of Information Technology.

Agarwal, Anshul, et al.. (2025). A computational examination of lead free Cs2PtI6 based perovskite solar cell with investigation of several carrier transport materials. Solar Energy Materials and Solar Cells. 282. 113430–113430. 1 indexed citations

Attri, Ishana, et al.. (2025). TinyML for Plant Disease Detection: Efficient Edge AI Solutions for Apple and Mango Leaves. Procedia Computer Science. 258. 2870–2877. 1 indexed citations

Awasthi, Lalit Kumar, et al.. (2024). Unveiling the hidden dangers: Security risks and forensic analysis of smart bulbs. Forensic Science International Digital Investigation. 50. 301794–301794. 1 indexed citations

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

Choudhary, Priyanka, et al.. (2024). A Review on Security Challenges: Cryptography and Blockchain for Internet of Things. Lecture notes in networks and systems. 789–795.

Awasthi, Lalit Kumar, et al.. (2024). Deep Learning Approaches for Predicting Mental States through Tweet Analysis. 1–6.

Attri, Ishana, Lalit Kumar Awasthi, & Teek Parval Sharma. (2023). Machine learning in agriculture: a review of crop management applications. Multimedia Tools and Applications. 83(5). 12875–12915. 63 indexed citations

Chauhan, Naveen, et al.. (2023). A Comprehensive review of ‘Internet of Healthcare Things’: Networking aspects, technologies, services, applications, challenges, and security concerns. Computer Science Review. 50. 100591–100591. 31 indexed citations

10.

Chauhan, Naveen, et al.. (2023). Modelling Buffer-Overflow in 6LoWPAN-Based Resource-Constraint IoT-Healthcare Network. Wireless Personal Communications. 129(2). 1113–1128. 3 indexed citations

11.

Chauhan, Naveen, et al.. (2022). Secure authentication and session key management scheme for Internet of Vehicles. Transactions on Emerging Telecommunications Technologies. 33(5). 5 indexed citations

12.

Chaudhary, Monika, Nitin Goyal, Abderrahim Benslimane, et al.. (2022). Underwater Wireless Sensor Networks: Enabling Technologies for Node Deployment and Data Collection Challenges. IEEE Internet of Things Journal. 10(4). 3500–3524. 88 indexed citations

13.

Goyal, Nitin, et al.. (2022). Priority based data gathering using multiple mobile sinks in cluster based UWSNs for oil pipeline leakage detection. Cluster Computing. 25(2). 1341–1354. 18 indexed citations

14.

Chauhan, Naveen, et al.. (2021). Buffer-loss estimation to address congestion in 6LoWPAN based resource-restricted ‘Internet of Healthcare Things’ network. Computer Communications. 181. 236–256. 14 indexed citations

15.

Sharma, Punit & Lalit Kumar Awasthi. (2021). Big Data Storage and Decentralization: A Review. 546–550.

16.

Kaur, Satnam, Lalit Kumar Awasthi, & Amrit Lal Sangal. (2020). A Review on Software Refactoring Opportunity Identification and Sequencing in Object-oriented Software. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 14(3). 252–267. 3 indexed citations

17.

Gupta, Ankur & Lalit Kumar Awasthi. (2012). Peer-to-Peer Networks and Computation: Current Trends and Future Perspectives. Computing and Informatics / Computers and Artificial Intelligence. 30(3). 559–594. 7 indexed citations

18.

Chauhan, Naveen, et al.. (2011). A Distributed Weighted Cluster Based Routing Protocol for MANETs. Wireless Sensor Network. 3(2). 54–60. 27 indexed citations

19.

Gupta, Ankur & Lalit Kumar Awasthi. (2008). Secure Thyself: Securing Individual Peers in Collaborative Peer-to-Peer Environments.. 12(2). 140–146. 7 indexed citations

20.

Gupta, Ankur & Lalit Kumar Awasthi. (2007). P4P: Ensuring Fault-Tolerance for Cycle-Stealing P2P applications.. 151–158. 5 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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