Ajay Dholakia

2.2k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Ajay Dholakia is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ajay Dholakia has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Ajay Dholakia's work include Error Correcting Code Techniques (19 papers), Advanced Wireless Communication Techniques (16 papers) and Cooperative Communication and Network Coding (8 papers). Ajay Dholakia is often cited by papers focused on Error Correcting Code Techniques (19 papers), Advanced Wireless Communication Techniques (16 papers) and Cooperative Communication and Network Coding (8 papers). Ajay Dholakia collaborates with scholars based in United States, Switzerland and Spain. Ajay Dholakia's co-authors include Evangelos Eleftheriou, Xiaoyu Hu, M.P.C. Fossorier, J. Chen, Donald M. Arnold, Thomas Mittelholzer, Ilias Iliadis, Jai Menon, Giovanni Cherubini and M. Despont and has published in prestigious journals such as IEEE Transactions on Information Theory, Expert Systems with Applications and IEEE Communications Magazine.

In The Last Decade

Ajay Dholakia

40 papers receiving 1.4k citations

Hit Papers

Reduced-Complexity Decoding of LDPC Codes 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajay Dholakia United States 13 1.2k 1.1k 234 143 92 44 1.5k
Jianhao Hu China 18 580 0.5× 891 0.8× 223 1.0× 41 0.3× 67 0.7× 146 1.3k
Jeongseok Ha South Korea 20 1.1k 1.0× 1.2k 1.1× 299 1.3× 29 0.2× 89 1.0× 115 1.5k
Alexandre Graell i Amat Sweden 21 1.0k 0.9× 1.2k 1.0× 470 2.0× 42 0.3× 126 1.4× 172 1.6k
Qin Huang China 19 860 0.7× 906 0.8× 437 1.9× 243 1.7× 105 1.1× 113 1.4k
Maurizio Magarini Italy 20 398 0.3× 1.3k 1.2× 189 0.8× 155 1.1× 31 0.3× 218 1.8k
Gianluigi Liva Germany 23 2.1k 1.8× 2.4k 2.1× 277 1.2× 21 0.1× 77 0.8× 157 2.8k
Jianhua Ge China 35 2.1k 1.8× 3.8k 3.3× 119 0.5× 43 0.3× 29 0.3× 256 4.0k
Masayuki Fujise Japan 18 333 0.3× 963 0.8× 104 0.4× 108 0.8× 44 0.5× 146 1.2k
Jincheng Dai China 21 478 0.4× 805 0.7× 464 2.0× 55 0.4× 20 0.2× 106 1.5k
Hyuncheol Park South Korea 21 644 0.6× 2.1k 1.8× 83 0.4× 104 0.7× 26 0.3× 193 2.3k

Countries citing papers authored by Ajay Dholakia

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Dholakia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Dholakia

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Dholakia. A scholar is included among the top collaborators of Ajay Dholakia 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 Ajay Dholakia. Ajay Dholakia 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.
Guitart, Jordi, et al.. (2022). Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. QRU Quaderns de Recerca en Urbanisme. 376–385. 6 indexed citations
2.
Dholakia, Ajay, et al.. (2019). Towards Power Efficiency in Deep Learning on Data Center Hardware. 1814–1820. 15 indexed citations
3.
Dholakia, Ajay, Evangelos Eleftheriou, Xiaoyu Hu, et al.. (2006). Analysis of a new intra-disk redundancy scheme for high-reliability RAID storage systems in the presence of unrecoverable errors. 373–374. 4 indexed citations
4.
Chen, J., Ajay Dholakia, Evangelos Eleftheriou, M.P.C. Fossorier, & Xiaoyu Hu. (2005). Reduced-Complexity Decoding of LDPC Codes. IEEE Transactions on Communications. 53(8). 1288–1299. 659 indexed citations breakdown →
5.
Dholakia, Ajay, Evangelos Eleftheriou, Thomas Mittelholzer, & M.P.C. Fossorier. (2004). Capacity-approaching codes: can they be applied to the magnetic recording channel?. IEEE Communications Magazine. 42(2). 122–130. 23 indexed citations
6.
Dholakia, Ajay & S. Ölçer. (2004). Rate-compatible array LDPC codes. 154–154. 1 indexed citations
7.
Eleftheriou, Evangelos, Theodore Antonakopoulos, G. Binnig, et al.. (2003). "Millipede": a MEMS-based scanning-probe data-storage system. CE2–1. 4 indexed citations
8.
Chen, J., Ajay Dholakia, Evangelos Eleftheriou, M.P.C. Fossorier, & Xiaoyu Hu. (2003). Near optimal reduced-complexity decoding algorithms for LDPC codes. 455–455. 21 indexed citations
9.
Cherubini, Giovanni, Theodore Antonakopoulos, G. Binnig, et al.. (2002). The millipede, a very dense, highly parallel scanning-probe data-storage system. European Solid-State Circuits Conference. 121–125. 2 indexed citations
10.
Sharma, Gaurav, et al.. (2002). Simulation of error trapping decoders on a fading channel. 2. 1361–1365. 13 indexed citations
11.
Tüchler, M., et al.. (2002). Application of high-rate tail-biting codes to generalized partial response channels. 5. 2966–2971. 4 indexed citations
12.
Koorapaty, H., Ajay Dholakia, Donald L. Bitzer, & Mladen A. Vouk. (2002). Determination of inverses and syndrome formers for 2-D convolutional encoders. 288–288. 1 indexed citations
13.
Dholakia, Ajay, Mladen A. Vouk, & Donald L. Bitzer. (2002). A lost packet recovery technique using convolutional coding in high speed networks. 1. 318–322. 3 indexed citations
14.
Hu, Xiaoyu, Evangelos Eleftheriou, Donald M. Arnold, & Ajay Dholakia. (2002). Efficient implementations of the sum-product algorithm for decoding LDPC codes. 2. 1036–1036E. 243 indexed citations
15.
Eleftheriou, Evangelos, Thomas Mittelholzer, & Ajay Dholakia. (2001). Reduced-complexity decoding algorithm for low-densityparity-check codes. Electronics Letters. 37(2). 102–104. 61 indexed citations
16.
Bitzer, Donald L., Ajay Dholakia, H. Koorapaty, & Mladen A. Vouk. (1998). On locally invertible rate-1/n convolutional encoders. IEEE Transactions on Information Theory. 44(1). 420–422. 7 indexed citations
17.
Dholakia, Ajay, H. Koorapaty, Donald L. Bitzer, & Mladen A. Vouk. (1995). A Time-Domain Analysis of Minimal Convolutional Encoders. 2 indexed citations
18.
Dholakia, Ajay, Mladen A. Vouk, & Donald L. Bitzer. (1995). Table based decoding of rate one-half convolutional codes. IEEE Transactions on Communications. 43(2/3/4). 681–686. 8 indexed citations
19.
Dholakia, Ajay. (1994). Introduction to Convolutional Codes with Applications. 55 indexed citations
20.
Dholakia, Ajay. (1994). Locally invertible convolutional encoders, table-based decoding, and their applications to high speed communications. 3 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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