Dadabada Pradeepkumar

473 total citations
6 papers, 317 citations indexed

About

Dadabada Pradeepkumar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Dadabada Pradeepkumar has authored 6 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 5 papers in Economics and Econometrics. Recurrent topics in Dadabada Pradeepkumar's work include Stock Market Forecasting Methods (5 papers), Complex Systems and Time Series Analysis (4 papers) and Neural Networks and Applications (4 papers). Dadabada Pradeepkumar is often cited by papers focused on Stock Market Forecasting Methods (5 papers), Complex Systems and Time Series Analysis (4 papers) and Neural Networks and Applications (4 papers). Dadabada Pradeepkumar collaborates with scholars based in India and United States. Dadabada Pradeepkumar's co-authors include Vadlamani Ravi and Kalyanmoy Deb and has published in prestigious journals such as Applied Soft Computing, Computers & Operations Research and Swarm and Evolutionary Computation.

In The Last Decade

Dadabada Pradeepkumar

6 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dadabada Pradeepkumar India	4	196	102	101	94	34	6	317
Gholam Ali Raissi Ardali Iran	7	207 1.1×	99 1.0×	133 1.3×	52 0.6×	33 1.0×	9	362
Carlos Maté Spain	7	205 1.0×	125 1.2×	152 1.5×	119 1.3×	39 1.1×	10	408
Manrui Jiang China	9	255 1.3×	104 1.0×	162 1.6×	125 1.3×	44 1.3×	11	428
Kumkum Garg India	9	96 0.5×	55 0.5×	104 1.0×	47 0.5×	22 0.6×	36	305
Cristian Challú United States	3	157 0.8×	107 1.0×	126 1.2×	44 0.5×	115 3.4×	6	369
Akhter Mohiuddin Rather India	6	335 1.7×	101 1.0×	173 1.7×	131 1.4×	44 1.3×	11	447
J. H. Witte United Kingdom	5	220 1.1×	118 1.2×	73 0.7×	108 1.1×	27 0.8×	8	438
Xiang Ma China	9	159 0.8×	55 0.5×	93 0.9×	58 0.6×	59 1.7×	21	255
Salahadin Mohammed Saudi Arabia	7	170 0.9×	91 0.9×	99 1.0×	45 0.5×	79 2.3×	27	344
Haeran Cho United Kingdom	10	50 0.3×	101 1.0×	65 0.6×	92 1.0×	31 0.9×	24	438

Countries citing papers authored by Dadabada Pradeepkumar

Since Specialization

Citations

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

Fields of papers citing papers by Dadabada Pradeepkumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dadabada Pradeepkumar

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

All Works

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6 of 6 papers shown

1.

Pradeepkumar, Dadabada & Vadlamani Ravi. (2020). Financial time series prediction: an approach using motif information and neural networks. 5(1). 79–79. 1 indexed citations

2.

Pradeepkumar, Dadabada & Vadlamani Ravi. (2020). Financial time series prediction: an approach using motif information and neural networks. 5(1). 79–79. 2 indexed citations

3.

Pradeepkumar, Dadabada & Vadlamani Ravi. (2018). Soft computing hybrids for FOREX rate prediction: A comprehensive review. Computers & Operations Research. 99. 262–284. 59 indexed citations

4.

Pradeepkumar, Dadabada & Vadlamani Ravi. (2017). Forecasting financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network. Applied Soft Computing. 58. 35–52. 145 indexed citations

5.

Ravi, Vadlamani, Dadabada Pradeepkumar, & Kalyanmoy Deb. (2017). Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms. Swarm and Evolutionary Computation. 36. 136–149. 98 indexed citations

6.

Pradeepkumar, Dadabada & Vadlamani Ravi. (2016). FOREX Rate prediction using Chaos and Quantile Regression Random Forest. 517–522. 12 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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