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.
Deep Learning Approach for Intelligent Intrusion Detection System
20191.1k citationsR. Vinayakumar, K. P. Soman et al.profile →
Stock price prediction using LSTM, RNN and CNN-sliding window model
2017595 citationsR. Vinayakumar, K. P. Soman et al.profile →
Applying convolutional neural network for network intrusion detection
2017361 citationsR. Vinayakumar, K. P. Soman et al.profile →
Robust Intelligent Malware Detection Using Deep Learning
2019338 citationsR. Vinayakumar, K. P. Soman et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of K. P. Soman'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 K. P. Soman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. P. Soman more than expected).
This network shows the impact of papers produced by K. P. Soman. 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 K. P. Soman. The network helps show where K. P. Soman may publish in the future.
Co-authorship network of co-authors of K. P. Soman
This figure shows the co-authorship network connecting the top 25 collaborators of K. P. Soman.
A scholar is included among the top collaborators of K. P. Soman 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 K. P. Soman. K. P. Soman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chakravarthi, Bharathi Raja, M. Anand Kumar, John P. McCrae, et al.. (2020). Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix. 112–120.30 indexed citations
5.
Simon, Ann M., et al.. (2019). Shallow Cnn with Lstm layer for tuberculosis detection in microscopic image. International Journal of Recent Technology and Engineering (IJRTE). 7.5 indexed citations
6.
Soman, K. P., et al.. (2019). Pre-processed hyperspectral image analysis using tensor decomposition techniques. Communications in computer and information science. 968.1 indexed citations
Singh, Saurabh, et al.. (2016). CEN@Amrita FIRE 2016: Context based character embeddings for entity extraction in code-mixed text. CEUR Workshop Proceedings. 1737. 321–324.3 indexed citations
9.
Kumar, M. Anand, et al.. (2016). DPIL@FIRE 2016: Overview of shared task on detecting paraphrases in Indian Languages (DPIL). CEUR Workshop Proceedings. 1737.3 indexed citations
10.
Sowmya, V., et al.. (2016). Fourier Descriptor features for Shape Deformation Classification using Random Kitchen Sink. 9.
11.
Soman, K. P., et al.. (2015). Effect of AB filter denoising on ADMM based Hyperspectral Image Classification. International Journal of Applied Engineering Research. 10(73).1 indexed citations
12.
Premjith, B., et al.. (2015). Computational experiment of one class SVM in excel. International Journal of Applied Engineering Research. 10(20).1 indexed citations
13.
Sowmya, V., et al.. (2015). A Comparative Analysis of Variational Mode and Empirical Mode Features on Hyperspectral Image Classification. International Journal of Applied Engineering Research. 10(73).2 indexed citations
14.
Kumar, M. Anand, et al.. (2015). Sentiment analysis of tamil movie reviews via feature frequency count. International Journal of Applied Engineering Research. 10(20).7 indexed citations
15.
Soman, K. P., et al.. (2015). Spreadsheet implementation of random kitchen sink for classification. International Journal of Applied Engineering Research. 10(20).3 indexed citations
16.
Kumar, M. Anand, Suresh Rajendran, & K. P. Soman. (2014). Tamil word sense disambiguation using support vector machines with rich features. International Journal of Applied Engineering Research. 9.8 indexed citations
17.
Gandhiraj, R, et al.. (2013). Performance analysis of Real time of DM based communication system using GNU Radio and USRP. 3(6).6 indexed citations
18.
Kumar, M. Anand, et al.. (2012). Morphological analyzer for Malayalam using machine learning. Lecture notes in computer science.1 indexed citations
19.
Soman, K. P. & J. Amudha. (2011). Feature Selection in top-down visual attention model. 24.1 indexed citations
20.
Soman, K. P., et al.. (2008). English to Tamil Transliteration using Sequence Labeling Approach.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.