Vikramaditya R. Jakkula

1.4k total citations · 1 hit paper
12 papers, 880 citations indexed

About

Vikramaditya R. Jakkula is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vikramaditya R. Jakkula has authored 12 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vikramaditya R. Jakkula's work include Time Series Analysis and Forecasting (8 papers), Data Management and Algorithms (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Vikramaditya R. Jakkula is often cited by papers focused on Time Series Analysis and Forecasting (8 papers), Data Management and Algorithms (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Vikramaditya R. Jakkula collaborates with scholars based in United States and United Kingdom. Vikramaditya R. Jakkula's co-authors include Diane J. Cook, Juan Carlos Augusto, Aaron S. Crandall and Diane J. Cook and has published in prestigious journals such as Pervasive and Mobile Computing, Methods of Information in Medicine and National Conference on Artificial Intelligence.

In The Last Decade

Vikramaditya R. Jakkula

11 papers receiving 818 citations

Hit Papers

Ambient intelligence: Technologies, applications, and opp... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikramaditya R. Jakkula United States 9 532 312 214 182 118 12 880
G. Michael Youngblood United States 12 508 1.0× 253 0.8× 301 1.4× 191 1.0× 97 0.8× 46 920
Aaron S. Crandall United States 13 649 1.2× 312 1.0× 191 0.9× 256 1.4× 87 0.7× 24 912
Diane J. Cook United States 9 541 1.0× 269 0.9× 153 0.7× 217 1.2× 69 0.6× 15 709
Aitor Almeida Spain 16 364 0.7× 320 1.0× 167 0.8× 146 0.8× 45 0.4× 69 938
Eunju Kim South Korea 9 431 0.8× 149 0.5× 202 0.9× 91 0.5× 70 0.6× 50 752
Clemens Holzmann Austria 17 780 1.5× 231 0.7× 244 1.1× 98 0.5× 135 1.1× 53 1.2k
K.P. Fishkin United States 6 772 1.5× 323 1.0× 152 0.7× 574 3.2× 103 0.9× 7 1.5k
Emmanuel Munguia Tapia United States 11 499 0.9× 196 0.6× 90 0.4× 132 0.7× 144 1.2× 15 873
Uzoma Rita Alo Nigeria 8 478 0.9× 209 0.7× 271 1.3× 83 0.5× 107 0.9× 13 955
Ramón Brena Mexico 16 328 0.6× 196 0.6× 240 1.1× 463 2.5× 132 1.1× 59 1.1k

Countries citing papers authored by Vikramaditya R. Jakkula

Since Specialization
Citations

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

Fields of papers citing papers by Vikramaditya R. Jakkula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikramaditya R. Jakkula. 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 Vikramaditya R. Jakkula. The network helps show where Vikramaditya R. Jakkula may publish in the future.

Co-authorship network of co-authors of Vikramaditya R. Jakkula

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

All Works

12 of 12 papers shown
1.
Jakkula, Vikramaditya R. & Diane J. Cook. (2011). Detecting anomalous sensor events in smart home data for enhancing the living experience. National Conference on Artificial Intelligence. 33–37. 48 indexed citations
2.
Jakkula, Vikramaditya R. & Diane J. Cook. (2010). Outlier Detection in Smart Environment Structured Power Datasets. 29–33. 39 indexed citations
3.
Cook, Diane J., Juan Carlos Augusto, & Vikramaditya R. Jakkula. (2009). Ambient intelligence: Technologies, applications, and opportunities. Pervasive and Mobile Computing. 5(4). 277–298. 561 indexed citations breakdown →
4.
Jakkula, Vikramaditya R. & Diane J. Cook. (2008). Enhancing Smart Home Algorithms Using Temporal Relations. 3–10. 8 indexed citations
5.
Jakkula, Vikramaditya R. & Diane J. Cook. (2007). Anomaly Detection Using Temporal Data Mining in a Smart Home Environment. Methods of Information in Medicine. 47(1). 70–75. 68 indexed citations
6.
Jakkula, Vikramaditya R. & Diane J. Cook. (2007). Mining Sensor Data in Smart Environment for Temporal Activity Prediction. 26 indexed citations
7.
Jakkula, Vikramaditya R., Aaron S. Crandall, & Diane J. Cook. (2007). Knowledge Discovery in Entity Based Smart Environment Resident Data Using Temporal Relation Based Data Mining. 625–630. 16 indexed citations
8.
Jakkula, Vikramaditya R., et al.. (2007). Prediction Models for a Smart Home Based Health Care System. 761–765. 16 indexed citations
9.
Jakkula, Vikramaditya R., Diane J. Cook, & Aaron S. Crandall. (2007). Temporal pattern discovery for anomaly detection in a smart home. 2007. 339–345. 44 indexed citations
10.
Jakkula, Vikramaditya R.. (2007). Predictive Data Mining to Learn Health Vitals of a Resident in a Smart Home. 163–168. 5 indexed citations
11.
Jakkula, Vikramaditya R. & Diane J. Cook. (2007). Using Temporal Relations in Smart Environment Data for Activity Prediction. 49 indexed citations
12.
Jakkula, Vikramaditya R.. (2004). Self Trained Artificial Neural Network.. National Conference on Artificial Intelligence. 78–82.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026