I. Jeena Jacob

820 total citations
39 papers, 497 citations indexed

About

I. Jeena Jacob is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, I. Jeena Jacob has authored 39 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in I. Jeena Jacob's work include Image Retrieval and Classification Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Remote-Sensing Image Classification (4 papers). I. Jeena Jacob is often cited by papers focused on Image Retrieval and Classification Techniques (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Remote-Sensing Image Classification (4 papers). I. Jeena Jacob collaborates with scholars based in India, United States and Czechia. I. Jeena Jacob's co-authors include K. G. Srinivasagan, Robert Bešťák, Domingo Granero, J. Vijande, Prasannavenkatesan Theerthagiri, José Pérez‐Calatayud, Cristian Candela‐Juan, Firas Mourtada, Facundo Ballester and S. Raja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Physics and Pattern Recognition Letters.

In The Last Decade

I. Jeena Jacob

35 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Jeena Jacob India 11 183 138 75 63 61 39 497
Areej Alasiry Saudi Arabia 14 126 0.7× 173 1.3× 67 0.9× 42 0.7× 69 1.1× 51 570
Allah Ditta Pakistan 12 108 0.6× 163 1.2× 96 1.3× 74 1.2× 139 2.3× 37 470
My Abdelouahed Sabri Morocco 13 150 0.8× 208 1.5× 92 1.2× 32 0.5× 36 0.6× 82 557
Ghulam Ali Mallah Pakistan 12 102 0.6× 131 0.9× 84 1.1× 63 1.0× 90 1.5× 36 423
Abdulaziz S. Almazyad Saudi Arabia 13 184 1.0× 166 1.2× 77 1.0× 57 0.9× 82 1.3× 67 560
Anjali Gautam India 14 175 1.0× 157 1.1× 38 0.5× 23 0.4× 26 0.4× 56 507
Muhammad Sheraz Arshad Malik Pakistan 10 94 0.5× 133 1.0× 54 0.7× 53 0.8× 77 1.3× 31 430
Jeonghong Kim South Korea 13 113 0.6× 132 1.0× 47 0.6× 21 0.3× 56 0.9× 27 416
Woong-Kee Loh South Korea 12 110 0.6× 222 1.6× 71 0.9× 23 0.4× 62 1.0× 46 548
Hameedur Rahman Pakistan 13 231 1.3× 195 1.4× 68 0.9× 47 0.7× 69 1.1× 62 596

Countries citing papers authored by I. Jeena Jacob

Since Specialization
Citations

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

Fields of papers citing papers by I. Jeena Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. Jeena Jacob. 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 I. Jeena Jacob. The network helps show where I. Jeena Jacob may publish in the future.

Co-authorship network of co-authors of I. Jeena Jacob

This figure shows the co-authorship network connecting the top 25 collaborators of I. Jeena Jacob. A scholar is included among the top collaborators of I. Jeena Jacob 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 I. Jeena Jacob. I. Jeena Jacob 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.
Jacob, I. Jeena, et al.. (2023). Enhancing healthcare security in the digital era: Safeguarding medical images with lightweight cryptographic techniques in IoT healthcare applications. Biomedical Signal Processing and Control. 88. 105511–105511. 26 indexed citations
3.
Jacob, I. Jeena, et al.. (2023). D-ResNet-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis. Multimedia Tools and Applications. 82(17). 25973–26004. 7 indexed citations
4.
Jacob, I. Jeena, et al.. (2022). Effective deep learning based multimodal sentiment analysis from unstructured big data. Expert Systems. 40(1). 10 indexed citations
5.
Jacob, I. Jeena, et al.. (2022). Expert Clouds and Applications. Lecture notes in networks and systems. 2 indexed citations
6.
Jacob, I. Jeena, et al.. (2022). Data Intelligence and Cognitive Informatics. Algorithms for intelligent systems. 5 indexed citations
7.
Robinson, Harold, et al.. (2021). Enhanced Energy Proficient Encoding Algorithm for Reducing Medium Time in Wireless Networks. Wireless Personal Communications. 119(4). 3569–3588. 1 indexed citations
8.
Jacob, I. Jeena, et al.. (2021). Image Retrieval Using Intensity Gradients and Texture Chromatic Pattern. International Journal of Data Warehousing and Mining. 17(1). 57–73. 1 indexed citations
9.
Theerthagiri, Prasannavenkatesan, et al.. (2021). Prediction of COVID-19 Possibilities using KNearest Neighbour Classification Algorithm. International Journal of Current Research and Review. 156–164. 13 indexed citations
10.
Jacob, I. Jeena, et al.. (2020). Person re-identification using prioritized chromatic texture (PCT) with deep learning. Multimedia Tools and Applications. 79(39-40). 29399–29410. 9 indexed citations
11.
Jacob, I. Jeena, et al.. (2020). Biometric template security using DNA codec based transformation. Multimedia Tools and Applications. 80(5). 7547–7566. 9 indexed citations
12.
Jacob, I. Jeena, et al.. (2020). Hyperspectral image classification using multi-task feature leverage with multi-variant deep learning. Earth Science Informatics. 13(4). 1093–1102. 8 indexed citations
13.
Jacob, I. Jeena, et al.. (2019). Deep learned Inter-Channel Colored Texture Pattern: a new chromatic-texture descriptor. Pattern Analysis and Applications. 23(1). 239–251. 3 indexed citations
14.
Jacob, I. Jeena, et al.. (2019). Hybrid fully convolutional networks‐based skin lesion segmentation and melanoma detection using deep feature. International Journal of Imaging Systems and Technology. 30(2). 348–357. 58 indexed citations
15.
Jacob, I. Jeena, et al.. (2018). Review on Fog Based Spectrum Sensing for Artificial Intelligence. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 66–70. 1 indexed citations
16.
Granero, Domingo, Cristian Candela‐Juan, J. Vijande, et al.. (2016). Technical Note: Dosimetry of Leipzig and Valencia applicators without the plastic cap. Medical Physics. 43(5). 2087–2090. 19 indexed citations
17.
Jacob, I. Jeena, et al.. (2014). Local Oppugnant Color Texture Pattern for image retrieval system. Pattern Recognition Letters. 42. 72–78. 51 indexed citations
18.
Jacob, I. Jeena, et al.. (2014). AN ARCHITECTURAL FRAME WORK OF ANN BASED SHORT TERM ELECTRICITY PRICE FORECAST ENGINE FOR INDIAN ENERGY EXCHANGE USING SIMILAR DAY APPROACH. 5 indexed citations
19.
Jacob, I. Jeena, et al.. (2012). Combined approach of user specified tags and content-based image annotation. 401. 162–166. 2 indexed citations
20.
Jacob, I. Jeena, et al.. (2011). SU-E-T-596: High Dose Brachytherapy Planning of a Left Breast Cancer Patient with in Situ Pacemaker:. Medical Physics. 38(6Part20). 3626–3626. 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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